Topic: Revolutionizing Liver Surgery with AI: Innovations and Challenges in Liver Transplantation

In the era of rapid artificial intelligence (AI) advancement, the realm of clinical medicine faces new opportunities and challenges due to complex medical data characterized by extensive dimensions and sample sizes.AI, employing machine learning, can unveil hidden patterns in large datasets and automate a substantial part of perioperative assessment, setting it apart from traditional methods. This holds especially true in the field of liver transplantation, where data abound due to the intricacies of both donors and recipients, along with various variables in the transplantation process. The widespread use of AI in liver transplantation paves the way for more intelligent and precise clinical medicine, aiding physicians in making accurate decisions efficiently. Nonetheless, the application of AI in liver transplantation still encounters significant challenges, such as the interpretability of AI algorithms, as well as the acceptability and trustworthiness of these algorithms by patients and their healthcare providers. This Special Issue aims to explore the advantages and limitations of AI in liver transplantation, as well as to chart its future course in enhancing the standards and safety of liver transplantation procedures, ultimately improving patient prognosis and survival rates.

Topics include but are not limited to the following:
1. 3D printing technology and virtual reality (VR) in surgical planning (preoperative assessment and surgical planning);
2. Automated surgical preoperative planning and navigation systems (liver segmentation, steatosis assessment, sarcopenia assessment, volumetry, lesion detection, segmentation and characterization, 3D modeling, laparoscopy);
3. AI-based organ donation and matching;
4. Application of AI algorithms in liver donor evaluation and organ allocation;
5. Application of machine learning (ML).

1 May 2024